Data Set
The professor suggested that it would be more efficient to download the datasets directly using the provided links on the website. However, the source of the datasets was set up in a way that did not allow for copying the links. As a result, I had to download the datasets directly from the website. The datasets used in this study include: ‘What causes contribute to mortality rates in Luxembourg’, ‘Non communication in Luxembourg’, and ‘Population by age group’. The links for these datasets are as follows: What causes contribute to mortality rates in Luxembourg, from the website “platform.who” , Non communication in Luxembourg, and Population by age group, source “ourworldindata.org”.
Examining Temporal Trends and Gender Disparities in Mortality Rates, 1960-2021.
The objective of this study is to investigate the temporal dynamics of mortality rates from 1960 to 2021, encompassing individuals of all age groups. A key focus of the analysis will be to assess potential disparities in mortality rates between males and females.
We shall now analyze some major causes of mortality in luxembourg and how these causes have affected different age groups.
# A tibble: 193 × 2
Indicator_Name n
<chr> <int>
1 All Causes 2703
2 Appendicitis 2703
3 Birth asphyxia and birth trauma 2703
4 Breast cancer 2703
5 Cardiovascular diseases 2703
6 Cataracts 2703
7 Cerebrovascular disease 2703
8 Childhood-cluster diseases 2703
9 Chronic obstructive pulmonary disease 2703
10 Cirrhosis of the liver 2703
# … with 183 more rows
Given that non-communicable diseases are the leading cause of death,it’s important to visualize the impact of these conditions on mortality by age group. This will allow us to identify which age brackets are most affected.
We have determined that this disease disproportionately affects older individuals. As such, it is important to visualize how this disease has contributed to mortality trends from 1960 to 2021.
To fully understand the impact of non-communicable diseases on the 70+ population in Luxembourg, it is necessary to compare the mortality rates in this age group to those of similar populations in other countries
Checking the age categories of the population in Europe from 1967 to 1980 could be important for understanding the prevalence of non-communicable diseases (NCDs) in this population during that time period.
This is because NCDs, such as heart disease, stroke, and cancer, are often more common in older age groups. By examining the age distribution of the population, We can determine whether the observed prevalence of NCDs in the population is due to the higher proportion of older individuals in the population, or whether other factors are also contributing to the observed prevalence of NCDs.